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Applying Visual User Interest Profiles for Recommendation & Personalisation

Authors: 

Jiang Zhou, Rami Albatal, Cathal Gurrin

Publication Type: 
Refereed Conference Meeting Proceeding
Abstract: 
We propose that a visual user interest profile can be gener- ated from images associated with an individual. By employing deep learn- ing, we extract a prototype visual user interest profile and use this as a source for subsequent recommendation and personalisation. We demon- strate this technique via a hotel booking system demonstrator, though we note that there are numerous potential applications.
Conference Name: 
Multimedia Modelling
Proceedings: 
Proceedings of Multimedia Modelling, Miami, Fl, USA
Digital Object Identifer (DOI): 
10.1007/978-3-319-27674-8_34
Publication Date: 
04/01/2016
Conference Location: 
United States of America
Research Group: 
Institution: 
Dublin City University (DCU)
Open access repository: 
Yes